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Technical and Scientific Reports: The Gains From Sample-Tree Selection with Unequal Probabilities

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A simple model using urns and marbles facilitates derivation of an apparently novel expression for the nongeometric components of variance of samples selected with equal or unequal probabilities. Further analysis of the expression permits broad conclusions as to the relative merits of equal-probability techniques compared to such unequal-probability techniques as geometric cluster-sampling with probability proportional to size, nongeometric sampling with probability proportional to prediction, and list-sampling. Probability sampling in these three major forms is not being fully exploited in forestry. It is hoped that a simplified picture of potential benefits may dispel latent misgivings.

Document Type: Journal Article

Affiliations: Senior Scientist of the Pioneering Research Unit in Forest Mensuration, Pacific Southwest Forest and Range Expt. Sta., Forest Service, U. S. Dept. Agric., Berkeley, Calif.

Publication date: 1967-03-01

More about this publication?
  • The Journal of Forestry is the most widely circulated scholarly forestry journal in the world. In print since 1902, the Journal has received several national awards for excellence. The mission of the Journal of Forestry is to advance the profession of forestry by keeping forest management professionals informed about significant developments and ideas in the many facets of forestry: economics, education and communication, entomology and pathology, fire, forest ecology, geospatial technologies, history, international forestry, measurements, policy, recreation, silviculture, social sciences, soils and hydrology, urban and community forestry, utilization and engineering, and wildlife management. The Journal is published bimonthly: January, March, May, July, September, and November.

    2015 Impact Factor: 1.476
    Ranking: 22 of 66 in forestry

    Average time from submission to first decision: 39.6 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Forest Science
    Other SAF Publications
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